Trier - Germany, October, 10th-12th, 2012
10th German Conference on
Multiagent System Technologies
Research and Innovation for a Smarter Society
20 Year Anniversary of German Special Interest Group on Distributed Artificial Intelligence (GI-FG VKI)

Submission Details

Paper submissions to MATES-2012 will be handled using the EasyChair system at this link:

Submissions must comply with the following requirements:

  • For preparation of papers to be submitted please follow the instructions for authors available at the Springer LNCS Web page:
  • The length of each paper including figures and references shall not exceed 14 pages.
  • All papers must be written in English and submitted in PDF format.
  • Papers that have been accepted or are under review by other conferences or journals are not eligible for submission. However, we encourage interdisciplinary contributions submitted or presented in part to a forum outside of agent technology.

Submissions not conforming to the above instructions may be rejected without review.

Please notice that the submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will attend the conference to present the work.

Doctoral Consortium

The focus of this year's MATES lies on techniques for enabling societies and organizations to be more inter-connected and collaborative. The doctoral consortium (DC) is one means to enable these goals for the researchers working in the area of intelligent agents or multi-agent systems. It aims to connect researchers, and give especially PhD students a place to present and discuss their ideas and make them work together collaboratively.

The field of intelligent agents and multi-agent systems has become broader in the last years. It has attracted researchers with different backgrounds like game theory, cognitive science, logics, human-computer interaction and business informatics to name only a few. This field has become interdisciplinary in itself. For young researchers who want to enter this field of research, it becomes relevant to have a broader view and a good network within the research community.

The goal of the DC is to bring together and support young researchers with different backgrounds, who are interested in intelligent agents or multi-agent systems. We invite PhD students at all stages of their research. The DC wants to offer a platform for PhD students for presenting and discussing their results, ideas and planed work in a constructive atmosphere.

Moreover, each PhD student will be mentored by an experienced researcher, who will provide detailed feedback and advice to help with their intended research. This often gives valuable external input and provides the opportunity to get in touch with different researchers to grow the personal academic network.

If you have any questions, please feel free to contact René Schumann (

How to apply?

Please send the following documents via e-mail to

  1. A two-page abstract of your thesis, formatted following the MATES guidelines, outlining your PhD project.
  2. Research status (1 page) addressing the following issues:
    • What is the status of your work? What has been done and what is planned next?
    • What (knowledge, advice, technical support) do you think you need?
    • When do you plan to graduate?
    • What are your plans after obtaining your PhD?
  3. A CV (max. 2 pages) that covers background (name, university, supervisor), education (degree sought, year/status in degree, previous degrees), employment, and relevant experience in research (e.g. publications, presentations, conferences attended, etc).


  • 20.08.2012 - Application Deadline
  • 29.08.2012 - Notification of acceptance
  • 10-12.10.2012 - DC@MATES 2012


Michael Kaisers, Maastricht University Learning against Learning Evolutionary dynamics of reinforcement learning algorithms in strategic interactions
Sebastian Ahrndt, TU-Berlin Exploring Self-Explanation: The Human Side
Johannes Fähndrich, TU-Berlin Exploring Self-Explanation: The System Side
Stefan Kehl, TU Clausthal A Decentralised Constraint-Based Approach for Evolutionary Collision Detection in Collaborative Product Development
Mohammad Taghi Saffar, University of Tehran Sharing Mental Models for Effective Teamwork in Heterogeneous MAS through Argumentation
Tomás Bálint, TU Kosice Modelling of Electronic Financial Services
Nils Masuch, TU Berlin Development of a distributed, semantic mobility platform for automated user planning within the urban traffic domain
Individual Discussions